Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 3.9 * weight - 214
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Hinault
3
62 kgBernaudeau
20
64 kgDidier
44
67 kgOvion
48
64 kgNilsson
71
63 kg
3
62 kgBernaudeau
20
64 kgDidier
44
67 kgOvion
48
64 kgNilsson
71
63 kg
Weight (KG) →
Result →
67
62
3
71
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HINAULT Bernard | 62 |
| 20 | BERNAUDEAU Jean-René | 64 |
| 44 | DIDIER Lucien | 67 |
| 48 | OVION Régis | 64 |
| 71 | NILSSON Sven-Åke | 63 |